ack、puppet •持续集成（CI）：Jenkins •配置管理：Ansible、Chef、Puppet、SaltStack •容器：Docker、kvm •编排：Kubernetes、openstack、Apache Mesos、swarm •服务注册与发现：Zookeeper、etcd、Consul •脚本语言：python、ruby、shell •日志管理：ELK、Logentries "output":['groupid','name'] } ret = self.zb.hostgroup.get(**data) return ret Zabbix api 开发的机柜告警平台 在Docker环境下的发布系统 在Docker环境下的发布系统 https://github.com/xiaoluoge11/jenkins_demo 由Jenkinsfile确定操作流程 K8s Ci/CD快速发布流程 Jenkins 触发构建构建任务，编写jenkinsfile. 5. 先进行代码静态分析，单元测试 6. 然后进行 Maven 构建（Java 项目） 7. 根据构建结果构建 Docker 镜像 8. 推送 Docker 镜像到 Harbor 仓库 9. 触发更新服务阶段，使用kubectl 从pod构建，当然kubectl版本打包到jenkin-slave镜像里 10. 发布更新、检测状态，更新失败停止，返回上一个版本

and modules 1.5.3. Using plugin to fix loading issue in darwin 1.5.4. Using hook to bind script to docker id 1.5.5. Using hook to check network time by other service 1.5.6. Protecting extension module pyarmor_runtime and modules 1.5.3. Using plugin to fix loading issue in darwin 1.5.4. Using hook to bind script to docker id 1.5.5. Using hook to check network time by other service 1.5.6. Protecting extension module pyarmor_runtime commands, it equals bug fixed Pyarmor 7.x pyarmor-auth used by Group License to support unlimited docker containers 1.2.2.2. Start Pyarmor by Python interpreter pyarmor is same as the following command:

有安装成功，现将安装过程及注意事项进行整理，供参考！！！ 系统要求： 1、8c 32G 2、windows 纯净版（没有其他系统软件） 安装过程 ·安装 WSL ·安装 Ubuntu ·Docker 安装与配置 ·下载安装包 Windows11 下载安装 MeterSphere 社区版本踩坑指南  作者：M&T. 25 《51 测试天地》七十四 www.51testing.com 3、Ubuntu 切换 root 用户 三 Docker 安装与配置 1、什么是 Docker Docker 是一种容器化平台，可以将应用程序及其所有依赖项封装成独立的可移植容 器，实现快速部署、可扩展和跨环境运行。 2、安装过程 下载地址 https://desktop.docker.com/win/main/amd64/Docker%20Desktop%20Installer.exe exe 28 《51 测试天地》七十四 www.51testing.com 双击 Docker Desktop Installer.exe 完成 docker 的安装。 3、配置操作 Docker Desktop 安装完成后，进入 Settings 界面，选择 Resources 菜单下的 WSL INTEGRATION，按下图设置后，点击右下角的 Apply & Restart。 29

2.11.0 • 阿里云 • Docker 镜像 • accc-registry.cn-hangzhou.cr.aliyuncs.com/tensorflow/tensorflow • Tag: latest • PyTorch • Official（latest） • pip install torch==1.13.0 • 阿里云 • Docker 镜像 • accc-registry torch_openblas_modelzoo PyTorch BF16 加速演示 • 拉取镜像 • docker pull accc-registry.cn- hangzhou.cr.aliyuncs.com/pytorch/pytorch:torch1.13.0_openblas_modelzoo • 启动容器 • docker run -d --name torch_bm -ti accc-registry com/pytorch/pytorch:torch1.13.0_openblas_modelzoo • 测试 ResNet-50 推理性能 • docker exec -ti torch_bm bash -c "cd /tmp/resnet50 && python3 performance.py” • docker exec -ti torch_bm bash -c "cd /tmp/resnet50 && python3 performance

Extension 1.5.1. Using plugin to fix loading issue in darwin 1.5.2. Using hook to bind script to docker id 1.5.3. Using hook to check network time by other service 2. How To 2.1. Highest security and Extension 1.5.1. Using plugin to fix loading issue in darwin 1.5.2. Using hook to bind script to docker id 1.5.3. Using hook to check network time by other service 1.1. Getting Started Content What’s and Extension Contents Using plugin to fix loading issue in darwin Using hook to bind script to docker id Using hook to check network time by other service Users could write any plugin script or hook

size. • Using bioconda? – Use conda-metachannel to reduce conda’s problem size. – Read more about docker images. • Specifying very broad package specs? 26 Chapter 1. User guide conda Documentation, Release /shared/conda/envs $HOME/.conda/envs These RPM and Debian packages provide another way to set up conda inside a Docker container. It is recommended to use this installation in a read-only manner and upgrade conda using Linux development only, you can use the same Docker image the CI pipelines use. Note that you can run this from all three operating systems! We are using docker compose, which provides three actions for you:

size. • Using bioconda? – Use conda-metachannel to reduce conda’s problem size. – Read more about docker images. • Specifying very broad package specs? 26 Chapter 1. User guide conda Documentation, Release /shared/conda/envs $HOME/.conda/envs These RPM and Debian packages provide another way to set up conda inside a Docker container. It is recommended to use this installation in a read-only manner and upgrade conda using Linux development only, you can use the same Docker image the CI pipelines use. Note that you can run this from all three operating systems! We are using docker compose, which provides three actions for you:

$HOME/.conda/envs These RPM and Debian packages also provide another way to set up conda inside a Docker container. Tip It is recommended to use this installation method in a read-only manner and upgrade size. • Using bioconda? – Use conda-metachannel to reduce conda’s problem size. – Read more about docker images. • Specifying very broad package specs? – Be more specific. Letting conda filter more candidates #13671) 4.4. Release notes 163 conda, Release 24.3.1.dev2 Deprecations • Discontinue custom docker images. Use images provided by Anaconda Inc. or conda-forge instead. (#13162) • Mark conda.common

$HOME/.conda/envs These RPM and Debian packages also provide another way to set up conda inside a Docker container. Tip It is recommended to use this installation method in a read-only manner and upgrade size. • Using bioconda? – Use conda-metachannel to reduce conda’s problem size. – Read more about docker images. • Specifying very broad package specs? – Be more specific. Letting conda filter more candidates progress, avoiding a possible ZeroDivisionError. (#13653, #13671) Deprecations • Discontinue custom docker images. Use images provided by Anaconda Inc. or conda-forge instead. (#13162) • Mark conda.common

$HOME/.conda/envs These RPM and Debian packages also provide another way to set up conda inside a Docker container. Tip It is recommended to use this installation method in a read-only manner and upgrade size. • Using bioconda? – Use conda-metachannel to reduce conda’s problem size. – Read more about docker images. • Specifying very broad package specs? – Be more specific. Letting conda filter more candidates progress, avoiding a possible ZeroDivisionError. (#13653, #13671) Deprecations • Discontinue custom docker images. Use images provided by Anaconda Inc. or conda-forge instead. (#13162) • Mark conda.common